Edit model card

Stellar Odyssey 12b v0.0

We will see... Come with me, take the journey~

Listen to the song on Youtube:

Soo... after I failed the first time, I took a crack at merging again. This time, these models were used

mistralai/Mistral-Nemo-Base-2407 Sao10K/MN-12B-Lyra-v4 nothingiisreal/MN-12B-Starcannon-v2 Gryphe/Pantheon-RP-1.5-12b-Nemo

License for this model is: cc-by-nc-4.0

I hope this was worth the time I spent to create this merge, lol

Gated access for now, gated access will be disabled when testing is done, and thanks to all who have interest.

Details

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the della_linear merge method using C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407 as a base.

Models Merged

The following models were included in the merge:

  • C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4
  • C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
  • C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4
    parameters:
      weight: 0.3
      density: 0.25
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2
    parameters:
      weight: 0.1
      density: 0.4
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
    parameters:
      weight: 0.4
      density: 0.5
merge_method: della_linear
base_model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407
parameters:
  epsilon: 0.05
  lambda: 1
merge_method: della_linear
dtype: bfloat16
Downloads last month
19
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.